@article {237,
	title = {A fuzzy grassroots ontology for improving weblog extraction},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):3Export Date: 10 July 2014},
	month = {2010},
	pages = {276 - 284},
	abstract = {This paper presents fuzzy clustering algorithms to establish a grassroots ontology - a machine-generated weak ontology - based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illustrated using a simple example. Added value and possible future studies are discussed in the conclusion.},
	keywords = {Fuzzy data clustering, Information retrieval, Ontology, Search engine, Semantic web, Weblog},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77955703451\&partnerID=40\&md5=e96f607ac097bae04e70c3dc44c841f3},
	author = {Portmann, E. and Meier, A.}
}
